DLHDD - 2022: Deep Learning for Healthcare Decision Making |
Website | https://sites.google.com/view/dlhdd-2022/home |
Submission link | https://easychair.org/conferences/?conf=dlhdd2022 |
Abstract registration deadline | September 10, 2021 |
Submission deadline | December 10, 2021 |
- Book Title: Deep Learning for Healthcare Decision Making
- Publisher: River Publishers, U.S.
- Editors: Vishal Jain, Jyotir Moy Chatterjee, Ishaani Priyadarshini and Fadi Al-Turjman
About the Book: This book is being formulated with the intent to uncover the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning algorithms. Successful application of deep learning frameworks to enable meaningful, cost-effective personalized healthcare services is the primary aim of the healthcare industry in the present scenario. However, realizing this goal requires effective understanding, application, and amalgamation of deep-learning and several other computing technologies to deploy such systems in an effective manner. This book shall help clarify understanding of certain key mechanisms and technologies helpful in realizing such systems.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. Important dates are as follows:
- Call for Chapter Proposal (1000-2000 Words): 10th September, 2021
- Notification of Proposal Approval: 20th September, 2021
- Full Chapter Submission: 10th December, 2021
- Review of Chapters notification to Authors: 20th December, 2021
- Revised Chapter Submission from Chapter Authors (If required): 05th January, 2022
- Final Acceptance/Rejection Notifications to Chapter Authors: 20th January, 2022
List of Topics
Topic areas include, but are not limited to:
- Applied Machine Learning in Healthcare
- Blockchain in Healthcare
- Deep Learning Approach for Telemedicine
- Deep Learning for clinical Decision making and Improved healthcare Outcome
- Deep Learning for Clinical Decision Support System
- Deep Learning for Healthcare Decision making with Electronic Medical Records (EMR)
- Deep Learning in Healthcare
- Deep Learning Methods for Clinical Trial
- Electronic Health Record analysis using Deep Learning
- Machine Learning and Blockchain Technology for Smart Healthcare
- Machine Learning in Healthcare Cybersecurity
- Machine Learning methods for Fraud Detection in Healthcare
- Medical Image Classification Using Deep Learning
- Parkinson disease detection using Deep Learning techniques
- Precision medication using Deep Learning
Contact
- Vishal Jain, Sharda University, India
- Jyotir Moy Chatterjee, Lord Buddha Education Foundation & Scientific Research Group in Egypt (SRGE), Kathmandu, Nepal
- Ishaani Priyadarshini, University of Delaware, Newark, USA
- Fadi Al-Turjman, Research Centre for AI and IoT, Near East University, Turkey
For any query, you may write us at: drvishaljain@yahoo.com and jyotirchatterjee@gmail.com .